Search Results (21)

Empty container depot (ECD) design significantly impacts maritime terminal efficiency, yet traditional evaluation approaches assess limited operational factors, constraining comprehensive performance optimization. This study develops an integrated discrete event simulation (DES) framework that simultaneously evaluates lifting equipment utilization, truck turnaround times, and potential collisions to support terminal decision-making. This study combines operational efficiency metrics with safety analytics for non-automated ECDs using Top Lifters and Reach Stackers. Additionally, a regression analysis examines efficiency metrics’ effect on safety risk. A case study at a Chilean multipurpose terminal reveals performance trade-offs between indicators under different operational scenarios, identifying substantial efficiency disparities between dry and refrigerated container operations. An analysis of four distinct collision zones with varying historical risk profiles showed the gate area had the highest potential collisions and a strong regression correlation with efficiency metrics. Similar models showed a poor fit in other conflict zones, evidencing the necessity for dedicated safety indicators complementing traditional measures. This integrated approach quantifies interdependencies between safety and efficiency metrics, helping terminal managers optimize layouts, expose traditional metric limitations, and reduce safety risks in space-constrained maritime terminals. Full article

Background: This study aimed to explore the relationship between architectural home design and mental health in older adults living independently in rural Chiang Mai. Methods: A purposive sample of seniors from San Kamphaeng District, living independently, were selected. Participants were assessed using tools like the MSPSS, OI-21, RULS-6, RI-9, PSQI, and a custom Home and Community Environment Satisfaction Scale. Statistical analysis examined correlations between home design, mental health, and satisfaction. Results: The study involved 83 participants (72.3% female, mean age 70.2 ± 6.16). Anxiety (3.51 ± 3.44) and depression (2.69 ± 3.19) levels were low, with minimal loneliness (10.02 ± 3.92). Social support was moderate (63.11 ± 15.69), and resilience was strong (38.42 ± 6.43). Nearly half of the participants (48.2%) had poor sleep quality. Architectural features influenced mental health, with larger yard spaces improving social support, while gardens had a negative correlation due to maintenance. Single-story homes with accessible layouts and south/east-facing living rooms improved mental health. Larger doors were linked to poorer sleep quality. Conclusions: Positive architectural designs, including accessible bedrooms and favorable orientations, enhance mental health for the elderly, supporting aging in place. Full article

Numerous studies address the estimation of energy consumption at intermodal terminals, with a primary focus on existing facilities. However, a significant research gap lies in the lack of reliable methods and tools for the ex ante estimation of energy consumption in transshipment systems. Such tools are essential for assessing the energy demand and intensity of intermodal terminals during the design phase. This gap presents a challenge for intermodal terminal designers, power grid operators, and other stakeholders, particularly in an era of growing energy needs. The authors of this paper identified this issue in the context of a real business case while planning potential intermodal terminal locations along new railway lines. The need became apparent when power grid designers requested energy consumption forecasts for the proposed terminals, highlighting the necessity to formulate and mathematically solve this problem. To address this challenge, a three-stage model was developed based on a pre-designed intermodal terminal. Stage I focused on establishing the fundamental assumptions for intermodal terminal operations. Key parameters influencing energy intensity were identified, such as the size of the transshipment yard, the types of loading operations, the number of containers handled, and the selection of handling equipment. These parameters formed the foundation for further analysis and modeling. Stage II focused on determining the optimal number of machines required to handle a given throughput. This included determining the specific parameters of the equipment, such as speed, span, and efficiency coefficients, as well as ensuring compliance with installation constraints dictated by the terminal layout. Stage III focused on estimating the energy consumption of both individual handling cycles and the total consumption of all handling equipment installed at the terminal. This required obtaining detailed information about the operational parameters of the handling equipment, which directly influence energy consumption. Using these parameters and the equations outlined in Stage III, the energy consumption for a single loading cycle was calculated for each type of handling equipment. Based on the total number of loading operations and model constraints, the total energy consumption of the terminal was estimated for various workload scenarios. In this phase of the study, numerous test calculations were performed. The analysis of testing parameters and the specified terminal layout revealed that energy consumption per cycle varies by equipment type: rail-mounted gantry cranes consume between 5.23 and 8.62 kWh, rubber-tired gantry cranes consume between 3.86 and 7.5 kWh, and automated guided vehicles consume approximately 0.8 kWh per cycle. All handling equipment, based on the adopted assumptions, will consume between 2200 and 13,470 kWh per day. Based on the testing results, a methodology was developed to aid intermodal terminal designers in estimating energy consumption based on variations in input parameters. The results closely align with those reported in the global literature, demonstrating that the methodology proposed in this article provides an accurate approach for estimating energy consumption at intermodal terminals. This method is also suited for use in ex ante cost–benefit analysis. A sensitivity analysis revealed the key variables and parameters that have the greatest impact on unit energy consumption per handling cycle. These included the transshipment yard’s dimensions, the mass of the equipment and cargo, and the nominal specifications of machinery engines. This research is significant for present-day economies heavily reliant on electricity, particularly during the energy transition phase, where efficient management of energy resources and infrastructure is essential. In the case of Poland, where this analysis was conducted, the energy transition involves not only switching handling equipment from combustion to electric power but, more importantly, decarbonizing the energy system. This study is the first to provide a methodology fully based on the design parameters of a planned intermodal terminal, validated with empirical data, enabling the calculation of future energy consumption directly from terminal technical designs. It also fills a critical research gap by enabling ex ante comparisons of energy intensity across transport chains, an area previously constrained by the lack of reliable tools for estimating energy consumption within transshipment terminals. Full article

If PC components are produced on site under the same conditions, the quality can be secured at least equal to that of factory production. In-situ production can reduce environmental loads by 14.58% or more than factory production, and if the number of PC components produced in-situ is increased, the cost can be reduced by up to 39.4% compared to factory production. Most of the existing studies focus on optimizing the layout of logistics centers, and relatively little attention is paid to the layout of PC parts for in-situ production. PC component yard layout planning for in-situ production can effectively reduce carbon dioxide emissions and improve construction efficiency. Therefore, the purpose of this study is to develop an environmental impact minimization model for in-situ production of PC components. As a result of applying the developed model, the optimization of the improved dung beetle optimization algorithm was verified to be efficient by improving the neighboring correlation by 22.79% and reducing carbon dioxide emissions by 18.33% compared to the dung beetle optimization algorithm. The proposed environmental impact minimization model can support the construction, reconstruction, and functional upgrade of logistics centers, contributing to low carbon dioxide in the logistics industry. Full article

As the decarbonization strategies of automated container terminals (ACTs) continue to advance, electrically powered Battery-Automated Guided Vehicles (B-AGVs) are being widely adopted in ACTs. The U-shaped ACT, as a novel layout, faces higher AGV energy consumption due to its deep yard characteristics. A key issue is how to adopt charging strategies suited to varying conditions to reduce the operational capacity loss caused by charging. This paper proposes a simulation-based optimization method for AGV charging strategies in U-shaped ACTs based on an improved Proximal Policy Optimization (PPO) algorithm. Firstly, Gated Recurrent Unit (GRU) structures are incorporated into the PPO to capture temporal correlations in state information. To effectively limit policy update magnitudes in the PPO, we improve the clipping function. Secondly, a simulation model is established by mimicking the operational process of the U-shaped ACTs. Lastly, iterative training of the proposed method is conducted based on the simulation model. The experimental results indicate that the proposed method converges faster than standard PPO and Deep Q-network (DQN). When comparing the proposed method-based charging threshold with a fixed charging threshold strategy across six different scenarios with varying charging rates, the proposed charging strategy demonstrates better adaptability to terminal condition variations in two-thirds of the scenarios. Full article

The proportions of container transshipment is the key factor in determining the proportion of automated guided vehicle (AGV) and external container truck operations. In terms of parallel and perpendicular layouts of automated container terminals (ACTs), varying proportions of container transshipment result in different proportions of AGVs and external container truck operations, subsequently leading to distinct impacts on energy consumption (EC) for each ACT layout. This paper deemed EC as the primary evaluation criterion, established an EC model encompassing yard cranes (YCs) and container trucks, and investigated the EC of parallel and perpendicular layouts at different proportions of container transshipment. The results indicate that when the proportions of container transshipment were less than 17%, the parallel layout had lower EC; when it was between 17% and 21%, there was not much difference between the two layouts; when it was greater than 21%, the perpendicular layout had lower EC. This conclusion was based on an ideal environment established in this paper. When making decisions, decision makers should use this model as a starting point and adapt it flexibly to the actual situation of the port, in order to arrive at a reasonable and feasible plan. Full article

In recent years, underground logistics systems have attracted more and more attention from scholars and are considered to be a promising new green and intelligent transportation mode. This paper proposes a yard design problem considering an underground container logistics system. The structure and workflow of the underground container logistics system are analyzed, and key features are recognized for the yard design problem, such as the container block layout direction, the lane configuration in the yard, and the number of container blocks. We formulate the problem into mathematical models under different scenarios of the key features with the comprehensive objective of maximizing the total throughput and minimizing the total operation cost simultaneously. An improved tabu search algorithm is designed to solve the problem. Experimental results show that the proposed algorithm can generate a satisfactory layout design solution for a real-size instance. Our research studies different container yard design options for introducing the underground logistics system into port terminals, which provides an important scientific foundation for promoting the application of underground container logistics systems. Full article

As the scale of construction expanded and the number of prefabricated buildings increased, a single tower crane could no longer meet the construction requirements, necessitating the simultaneous operation of more tower cranes to improve construction efficiency. To optimize the efficiency and cost of lifting prefabricated concrete components and address the selection and layout optimization of dual tower cranes, this paper proposed a double tower crane selection and positioning optimization model that integrated feasible layout area solving and optimization based on different objectives. By analyzing the mathematical relationship between the layout positions of the tower cranes and the positions of the prefabricated component storage yard and installation sites, a mathematical model for the feasible layout area of double tower cranes was established and solved using a genetic algorithm. On this basis, optimization models were established with the objectives of minimizing cost, achieving the shortest total lifting time, and achieving the maximum value coefficient, and they were solved using a genetic algorithm. The model was verified and analyzed through a case study. The research results indicated that the double tower crane selection scheme could achieve more than twice the lifting efficiency of the same model single tower crane. When the total lifting time was similar, choosing based on the principles of value engineering could yield the optimal solution with lower costs. These research findings provided a reference for the selection of tower crane schemes and the cost reduction and efficiency improvement of on-site prefabricated concrete component lifting construction. Full article

There is a lack of technology innovation studies in the maritime sector focusing on developing countries. Generally, these countries present various limitations due to their own social, economic, and political contexts. Moreover, the lack of leadership support, stakeholder involvement, training, resources, and financial and academic support affects successful implementation of technological innovation. The objective of this paper is to emphasize the implementation of Information and Communication Technology (ICT) in the maritime sector and port companies of developing countries by investigating the impact of an ICT solution on port operations from berth to gate through yard operations. Our case study consists of the implementation of a Terminal Operating System (TOS) in the Port of Radès, the main port in Tunisia. An examination of the port operations before and after the implementation of the TOS is carried out. Then, the effects of TOS implementation on terminal operations are studied through a survey based on Key Performance Indicators (KPI) and submitted to managers of three port stakeholders. Key findings indicate that TOS allows an increase in the level of productivity from the quay crane to the gate, allowing decisions to be made based on real-time data and ensuring that the terminal is operating at its full potential. More specifically, berthing and delivery service times are improved thanks to the Electronic Data Interchange (EDI) and the streamlining of the gate and yard activities system. The results also indicate that reputation is progressively improving due to the ability to locate and monitor hazardous goods flowing through the port, and the ability to dispatch engine movement inside the port using the new terminal layout. However, in contrast with the port authority, the results highlight a lack of adaptability on the part of the stevedoring company, which requires time to progressively adapt to the new rules and constraints. Full article

Traditional container terminals usually use a horizontal yard layout, while automated container terminals usually use a vertical yard layout. The two types of yard layout perform differently in the vehicle travel routes, the handling interface points of vehicles and yard cranes, and the yard cranes travel routes. These differences result in the different indicators between the two types of yard layout, such as yard utilization, average vehicle travel routes, average yard crane travel distance, and overall terminal efficiency etc. This paper uses an analytic method to quantify these indicators of the two types of yard layout. Based on the analysis results, the terminal efficiency is approximated by a queuing network from the overall operations. In the experiment studies, we first evaluate the indicators of the two types of yard layout, respectively. Then, we change the length and width of the yard to compare the efficiency of the two types of yard layout in various yard sizes. Finally, the overall terminal efficiency is compared. Results show that the overall efficiency is significantly affected by the service rate of yard cranes. The results in this paper may provide references for terminal yard design. Full article

A U-shaped automated container terminal (ACT) has been proposed for the first time globally and has been adopted to construct the Beibu Gulf Port ACT. In this ACT layout, the double cantilevered rail crane (DCRC) simultaneously provides loading and unloading services for the external container trucks (ECTs) and the automatic guided vehicles (AGVs) entering the yard. The DCRC has a complex scheduling coupling relationship with the AGV and the ECT, and its mathematical model is extremely complex. There is an urgent need to study a practical collaborative scheduling optimization model and algorithm for the DCRC, the AGV, and the ECT. In this paper, we optimize the process flow of DCRCs to study the refined collaborative scheduling model of DCRCs, AGVs and ECTs in U-shaped ACTs. Firstly, we analyze the operation process of the DCRC and divide the 16 loading and unloading conditions of the DCRC into four operation modes for process optimization. Secondly, different variables and parameters are set for the DCRC’s four operating modes, and a refined collaborative dispatching model for the DCRCs with AGVs and ECTs is proposed. Finally, a practical adaptive co-evolutionary genetic algorithm solves the model. Meanwhile, arithmetic examples verify the correctness and practicality of the model and algorithm. The experimental results show that the total running time of the DCRCs is the shortest in the U-shaped ACT when the number of quay cranes (QC) to DCRC and AGV ratios are 1:2 and 1:10, respectively. At the same time, the number of QCs and DCRCs has a more significant impact on the efficiency of the ACT than that of AGVs, and priority should be given to the allocation of QCs and DCRCs. The research results have essential guidance value for U-shaped ACTs under construction and enrich the theory and method of collaborative scheduling of U-shaped ACT equipment. Full article

Productivity is an extremely important factor in the competitiveness of a container terminal. Productivity itself is largely influenced by the handling mechanisation, the main task of which is to serve the quay cranes on one side and the yard cranes on the other. One of the most effective types of mechanisation in this segment is shuttle carriers, which are used primarily in the larger terminals. The objective of this study was to determine if they can also be used effectively in smaller container terminals with different yard layouts. Therefore, this study shows the impact of the selected layout and handling mechanisation on terminal productivity. The focus is on the berth productivity, as it has the greatest impact on the handling of the vessel in the port. To this end, a discrete-event simulation modelling approach was used in a container terminal of small capacity. The performed simulations included all operations between berth and yard, focusing on the correct allocation of shuttle carriers to ensure optimal results on the sea side of the terminal. The result showed that the use of shuttle carriers brings a substantial performance effect to the container terminal and also has a different effect considering different terminal layouts in terminals with an annual throughput not exceeding 1 million TEU. Full article

A new layout of the U-shaped automated terminal is more convenient to connect between the terminal and the railway. In this study, a sort of cluster scheduling method for multiple equipment between a U-shaped automated terminal yard and a railway yard is proposed. The innovation points are as follows: (1) Considering that the rail gantry crane (RGC), intelligent guided vehicle (IGV), and double cantilever rail crane (DCRC) usually work in groups, they are grouped and cluster-scheduled. (2) A hybrid integer programming model is established to minimize container transit times, and non-crossing constraints and safe distance constraints are included to reflect complex interactions among terminal equipment. (3) An ADMM (Alternating Direction Method of Multipliers)-based framework is proposed to dualize the hard-edge constraints and break the cluster scheduling problem down into a specific subproblem set of RGCs, IGVs, and DCRCs, and their time cost is iteratively adjusted to improve the solution quality. The experiment results show that the solution of the proposed method, which can effectively avoid IGV conflict, is better than that of the standard Lagrange relaxation (LR) when the number of equipments participating in scheduling increases. This study on multi-equipment cluster scheduling is conducive to improving the collaborative handling and continuous work of terminal equipment, and improving the efficiency of the automated terminal and the sea–rail intermodal transport. Full article

Ports are of great strategic importance for a country. Nowadays, compliance with environmental requirements is required, forcing the migration towards clean energies. Therefore, it is necessary for emerging ports, as those in developed countries, to incorporate in their policies the use of electric power in the machinery that moves containers in the terminals. To learn how the problem is addressed in other countries, an extensive bibliographic review is presented. Then, the energy policies and criteria of a group of ports in an emerging country and a European port are studied. Subsequently, in order to determine the gaps between the ports investigated, the layout of the cargo yard of each of the terminals is optimized; the emissions of Carbon Dioxide (CO₂) and other Greenhouse Gases (GHG) gases are calculated; and finally, the decrease in emissions when switching from diesel to electricity is estimated. The strategic and operational gaps related to energy management between the emerging and developed countries are discussed. It is concluded that research is needed to investigate how these initiatives impact the city and improve other sustainable aspects. Full article

The number of migrants increases globally due to natural disasters, global warming, and war conflicts. Inefficient and unsustainable construction approaches for migrant shelters have resulted from improper planning and design systems regarding lifespan, materials and techniques, and socio-cultural aspects. Therefore, the study aim has an incentive to assess the impact of the morphological, siting, and layout of zones and shelters for the long-term displacement prototypes considering sustainability concepts from social context, affordability, adaptability, low-impact construction materials, and techniques. Furthermore, applying the dynamic simulation IDA ICE 4.8 tool was cardinal to justify the comprehensive reported outcomes based on the bottom-up construction method after assessing energy and thermal comfort performance in seven cases. The energy performance assessment regarding heating reveals the superiority of the compact layout plan system, while the open-layout plan system is superior for electric cooling assessment. Concerning thermal comfort performance for the number of accepted hours category, the open-layout plan system is superior. Fanger indicators for thermal comfort assessment demonstrated the superiority of the horizontal-compact layout plan scheme. The carbon dioxide (CO₂) concentration level assessment shows that the open-yard layout cases have better results than other systems. To conclude, sustainable prototypes for displaced people should involve several aspects such as lifespan, socio-cultural and affordability, thermal performance and energy-efficient, and environmental impact. The beneficiaries from the methods and the results of this study would be firstly the Syrian refugees in the Middle East context, then various places and involved people affected by the displacement issue globally. Full article